CN106017502B - A kind of step-recording method and electronic equipment - Google Patents
A kind of step-recording method and electronic equipment Download PDFInfo
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- CN106017502B CN106017502B CN201610325891.7A CN201610325891A CN106017502B CN 106017502 B CN106017502 B CN 106017502B CN 201610325891 A CN201610325891 A CN 201610325891A CN 106017502 B CN106017502 B CN 106017502B
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- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C22/00—Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers, using pedometers
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Abstract
The invention discloses a kind of step-recording method and electronic equipment, the method is applied in electronic equipment, comprising: obtains the kinematic parameter and corresponding time parameter of electronic equipment；According to kinematic parameter and time parameter, judge whether the motion state of electronic equipment meets preset condition；Motion state includes the combination of one or more of: the period of motion, kinematic similarity feature and motion continuity feature；When the motion state of electronic equipment meets the preset condition, to step number plus 1 and store；When the motion state of electronic equipment is unsatisfactory for the preset condition, without step counting.Method provided by the invention and electronic equipment, to solve step-recording method in the prior art, due to the considerations of lacking to wrong ambulatory status, the technical issues of caused excessive counting.It realizes and reduces excessive step counting, improve the technical effect of step counting accuracy.
Description
Technical field
The present invention relates to field of computer technology more particularly to a kind of step-recording methods and electronic equipment.
Background technique
With the fast development of sensor technology, smart phone is integrated with sensor abundant, can support widely to move
Dynamic application, such as indoor positioning navigation, moving state identification, health monitoring, mobile social networking.In general, the sensing in mobile phone
Device includes acceleration, magnetometer, gyroscope, barometer, optical sensor etc..Smart phone of today has been not only a kind of logical
Believe equipment, more becomes the important life tool of people's social activity, amusement, study, health care etc..
Step number statistics becomes the key components of most of smart mobile phone applications, these applications generally require estimation user
The step number of walking.We can use mobile phone sensor reading to calculate the step number of user's walking.When the user walks, sensor
Reading shows certain repeatability rule.This repeatability rule when by being walked using user, it will be able to calculate
The step number of user's walking simultaneously infers the mobile distance of user.
There are mainly two types of step number calculation methods at present: method and wave crest detection method is arranged in threshold value.It is by sentencing that method, which is arranged, in threshold value
Whether link sensor reading has been more than specific threshold, is more than threshold value then step counting.And wave crest detection method is read by statistics sensor
Several wave crest number calculates step number.
But the problem of these methods do not account for wrong ambulatory status is only moved for example, user is practically without walking
Mobile phone causes sensor reading to be more than threshold value or wave crest occur, but pedometer still reports a walking event, and adds to step number
1。
That is, step-recording method in the prior art causes to exist due to the considerations of lacking to wrong ambulatory status
The technical issues of degree counts.
Summary of the invention
The present invention solves step-recording method in the prior art by providing a kind of step-recording method and electronic equipment, due to
The technical issues of the considerations of lacking to wrong ambulatory status, caused excessive counting.
On the one hand, in order to solve the above technical problems, the present invention provides the following technical scheme that
A kind of step-recording method, the method are applied in electronic equipment, which comprises
Obtain the kinematic parameter and the corresponding time parameter of the kinematic parameter of the electronic equipment；
According to the kinematic parameter and the time parameter, it is default to judge whether the motion state of the electronic equipment meets
Condition；The motion state includes the combination of one or more of: the period of motion, kinematic similarity feature and motion continuity
Feature；Wherein, the kinematic similarity feature is used to characterize the repetition degree of the electronic equipment movement；The motion continuity
Feature is used to characterize the smoothness of the electronic equipment movement；
When the motion state of the electronic equipment meets the preset condition, to step number plus 1 and store；
When the motion state of the electronic equipment is unsatisfactory for the preset condition, without step counting.
Optionally, the kinematic parameter and the corresponding time parameter of the kinematic parameter for obtaining the electronic equipment, tool
Body are as follows: by the sensor on the electronic equipment, acceleration and the acceleration for obtaining the electronic equipment movement are corresponding
Time parameter.
Optionally, whether the motion state for judging the electronic equipment meets preset condition, specifically includes: according to institute
Acceleration and the corresponding time parameter of the acceleration are stated, determination is corresponding with two adjacent wave peak values of the acceleration
Two time parameters, using the time difference between described two time parameters as the period of motion；Judge the period of motion
Whether preset period zones are in.
Optionally, whether the motion state for judging the electronic equipment meets preset condition, specifically includes: according to institute
Acceleration and the corresponding time parameter of the acceleration are stated, two interval crest values of the acceleration are determined, with described two
The negative of the absolute value of the difference of crest value is spaced as the kinematic similarity feature；Wherein, described two interval crest values
Between be spaced 1 acceleration wave peak value；Judge whether the kinematic similarity feature is greater than preset similarity threshold.
Optionally, whether the motion state for judging the electronic equipment meets preset condition, specifically includes: according to institute
Acceleration and the corresponding time parameter of the acceleration are stated, determines the variance of the acceleration in preset time period；According to described
Variance and preset continuity threshold value, using Boolean variable as the motion continuity feature；Judging the Boolean variable is
No is true.
On the other hand, a kind of electronic equipment is provided, comprising:
Acquiring unit, for obtaining the kinematic parameter and the corresponding time parameter of the kinematic parameter of the electronic equipment；
Computing unit, for judging the movement shape of the electronic equipment according to the kinematic parameter and the time parameter
Whether state meets preset condition；The motion state includes the combination of one or more of: the period of motion, kinematic similarity are special
Motion continuity of seeking peace feature；Wherein, the kinematic similarity feature is used to characterize the repetition degree of the electronic equipment movement；
The motion continuity feature is used to characterize the smoothness of the electronic equipment movement；
Execution unit, for when the motion state of the electronic equipment meets the preset condition, to step number plus 1；When
When the motion state of the electronic equipment is unsatisfactory for the preset condition, without step counting.
Optionally, the acquiring unit is specially the sensor on the electronic equipment, for obtaining the electronic equipment
The acceleration of movement and the corresponding time parameter of the acceleration.
Optionally, the computing unit is also used to: according to the acceleration and the corresponding time parameter of the acceleration, really
Fixed two time parameters corresponding with two adjacent wave peak values of the acceleration, between described two time parameters
Time difference is as the period of motion；Judge whether the period of motion is in preset period zones.
Optionally, the computing unit is also used to: according to the acceleration and the corresponding time parameter of the acceleration, really
Two interval crest values of the fixed acceleration, using the negative of the absolute value of the difference of described two interval crest values described in
Kinematic similarity feature；Wherein, 1 acceleration wave peak value is spaced between described two interval crest values；Judge the movement phase
Whether it is greater than preset similarity threshold like property feature.
Optionally, the computing unit is also used to: according to the acceleration and the corresponding time parameter of the acceleration, really
Determine the variance of the acceleration in preset time period；According to the variance and preset continuity threshold value, made using Boolean variable
For the motion continuity feature；Judge whether the Boolean variable is true.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
Method and apparatus provided by the embodiments of the present application, it is contemplated that walking or the existing periodical, similitude of running and company
The feature of continuous property, it is only all to movement is met according to the kinematic parameter of electronic equipment and the corresponding time parameter of the kinematic parameter
In phase, kinematic similarity and motion continuity one or more features motion state carry out step counting, will be unsatisfactory for the period of motion,
The motion state of one or more features is excluded as wrong ambulatory status in kinematic similarity and motion continuity, is effectively reduced
Excessive step counting problem, improves the accuracy of step counting.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention,
And it can be implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and advantage can
It is clearer and more comprehensible, the followings are specific embodiments of the present invention.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, the accompanying drawings in the following description is only the embodiment of the present invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to the attached drawing of offer other
Attached drawing.
Fig. 1 is the flow chart of step-recording method in the embodiment of the present application；
Fig. 2 is the flow chart of step number calculated examples in the embodiment of the present application；
Fig. 3 is the structure chart of electronic equipment in the embodiment of the present application.
Specific embodiment
The embodiment of the present application solves step counting side in the prior art by providing a kind of step-recording method and electronic equipment
Method, due to the considerations of lacking to wrong ambulatory status, the technical issues of caused excessive counting.It realizes and reduces excessive step counting,
Improve the technical effect of step counting accuracy.
In order to solve the above technical problems, the general thought that the embodiment of the present application provides technical solution is as follows:
The application provides a kind of step-recording method, and the method is applied in electronic equipment, which comprises
Obtain the kinematic parameter and the corresponding time parameter of the kinematic parameter of the electronic equipment；
According to the kinematic parameter and the time parameter, it is default to judge whether the motion state of the electronic equipment meets
Condition；The motion state includes the combination of one or more of: the period of motion, kinematic similarity feature and motion continuity
Feature；Wherein, the kinematic similarity feature is used to characterize the repetition degree of the electronic equipment movement；The motion continuity
Feature is used to characterize the smoothness of the electronic equipment movement；
When the motion state of the electronic equipment meets the preset condition, to step number plus 1 and store；
When the motion state of the electronic equipment is unsatisfactory for the preset condition, without step counting.
Method and apparatus provided by the embodiments of the present application, it is contemplated that walking or the existing periodical, similitude of running and company
The feature of continuous property, it is only all to movement is met according to the kinematic parameter of electronic equipment and the corresponding time parameter of the kinematic parameter
In phase, kinematic similarity and motion continuity one or more features motion state carry out step counting, will be unsatisfactory for the period of motion,
The motion state of one or more features is excluded as wrong ambulatory status in kinematic similarity and motion continuity, is effectively reduced
Excessive step counting problem, improves the accuracy of step counting.
In order to better understand the above technical scheme, being carried out below in conjunction with specific embodiment to above-mentioned technical proposal
It is described in detail, it should be understood that the specific features in the embodiment of the present invention and embodiment are to the detailed of technical scheme
Illustrate, rather than the restriction to technical scheme, in the absence of conflict, in the embodiment of the present application and embodiment
Technical characteristic can be combined with each other.
Embodiment one
In the present embodiment, a kind of step-recording method is provided, referring to FIG. 1, Fig. 1 is step-recording method in the embodiment of the present application
Flow chart, the method be applied to electronic equipment in, as shown in Figure 1, which comprises
Step S101 obtains the kinematic parameter and the corresponding time parameter of the kinematic parameter of the electronic equipment；
Step S102 judges that the motion state of the electronic equipment is according to the kinematic parameter and the time parameter
It is no to meet preset condition；The motion state includes the combination of one or more of: the period of motion, kinematic similarity feature and
Motion continuity feature；Wherein, the kinematic similarity feature is used to characterize the repetition degree of the electronic equipment movement；It is described
Motion continuity feature is used to characterize the smoothness of the electronic equipment movement；
Step S103 to step number plus 1 and is stored when the motion state of the electronic equipment meets the preset condition；
Step S104, when the motion state of the electronic equipment is unsatisfactory for the preset condition, without step counting.
In the specific implementation process, the electronic equipment can be smart phone, be also possible to smartwatch, can also be
The users such as motion bracelet can will not enumerate herein with portable equipment.
It should be noted that according to previous step counting data, it can be found that when user is hand held by mobile phone, is placed on pocket
In or in other posture walking processes, there are some stable, identifiable features, such as periodically, similitude or continuous
Property.By making full use of these features, it will be able to remove the interference of wrong ambulatory status, and then obtain more accurate step number.
In the following, describing in detail in conjunction with Fig. 1 to step-recording method provided by the present application:
Firstly, executing step S101, kinematic parameter and the kinematic parameter corresponding time of the electronic equipment are obtained
Parameter.
In the embodiment of the present application, the electronic equipment can be the sensor by being arranged on the electronic equipment come
Obtain the kinematic parameter and the time parameter of electronic equipment.The sensor can be accelerometer, magnetometer, gyro
Instrument, barometer or optical sensor etc., this is not restricted.
In the specific implementation process, the kinematic parameter can be the acceleration or speed of the electronic equipment movement,
This is with no restriction.
Further, according to the kinematic parameter and the time parameter, the song between the kinematic parameter delay can be obtained
Line, in order to subsequent calculating or judgement.
In the specific implementation process, in kinematic parameter and the kinematic parameter corresponding time for obtaining the electronic equipment
After parameter, the kinematic parameter and the kinematic parameter that can also be obtained sensor according to specific time interval or hits
The data such as corresponding time parameter are divided into different windows, in order to which electronic equipment is as unit of each window, to judge to be
It is no that step counting is carried out to each window.
The electronic equipment is judged according to the kinematic parameter and the time parameter next, executing step S102
Whether motion state meets preset condition；The motion state includes the combination of one or more of: the period of motion, movement phase
Like property feature and motion continuity feature；Wherein, the kinematic similarity feature is used to characterize the weight of the electronic equipment movement
Multiple degree；The motion continuity feature is used to characterize the smoothness of the electronic equipment movement；
Specifically, judge whether the motion state of the electronic equipment meets preset condition, can be and judge the electricity
Whether the period of motion of sub- equipment moving meets preset condition, is also possible to judge the kinematic similarity feature of the electronic equipment
Whether meet preset condition, can also be and judge whether the motion continuity feature of the electronic equipment meets preset condition.When
So, it can also be and any two in the period of motion, kinematic similarity feature and motion continuity feature required to meet default item
Part just carries out step counting.
Further, in order to exclude the step counting to wrong ambulatory status to greatest extent, the period of motion, movement phase can be required
Being all satisfied preset condition like property feature and motion continuity feature just can be carried out step counting.
Three kinds of period of motion, kinematic similarity feature and motion continuity feature motion states are said respectively below
It is bright:
The first, the period of motion.
Specifically, it is contemplated that when user's walking, the reading of the sensor on electronic equipment often have repeatability and
Periodic regularity.Due to user be during walking or running with a kind of relatively-stationary speed, movement (such as
Walk, run, go upstairs, go downstairs) periodicity be also relatively-stationary.However, when user is in the state of remaining stationary,
When the operation such as carrying out input text, make a phone call, play game using electronic equipment, it frequently can lead to this periodicity and change,
Get accidental kinematic parameter.I.e. if the range of walking period is limited to a specific value, so that it may in certain journey
The problem of this step number mistake of statistics is reduced on degree.
It in the embodiment of the present application, can be speed reading by this period definition when the kinematic parameter is speed
Time difference between several two adjacent peaks；It can be to add by this period definition when the kinematic parameter is acceleration
Time difference between two adjacent peaks of velocity readings.
By taking the kinematic parameter is acceleration as an example: it is default whether the motion state for judging the electronic equipment meets
Condition specifically includes:
According to the acceleration and the corresponding time parameter of the acceleration, determining two adjacent waves with the acceleration
Corresponding two time parameters of peak value, using the time difference between described two time parameters as the period of motion；
Judge whether the period of motion is in preset period zones.
Specifically, according to acceleration and the corresponding time parameter of the acceleration, the acceleration delay can be obtained
Between the curve that changes, have wave crest and trough on the curve, the time difference that the period of motion is equal to two adjacent peaks be set,
I.e.Wherein, TiIndicate the period of motion,WithRespectively indicate acceleration readings i+1 wave crest
peaki+1With i-th of wave crest peakiCorresponding time when appearance.
Further, judge whether the motion state of the electronic equipment meets preset condition, i.e. judgment formula Ti∈[Tmin,
Tmax] whether meet, wherein [Tmin,Tmax] it is the period zones；TminAnd TmaxRespectively based on experience value or test obtain
Normal gait when the period minimum value and maximum value.
Second, kinematic similarity feature.
Specifically, it is contemplated that when pedestrian walks naturally or runs, the motion state of two steps is very similar.Cause
This can measure the wave crest distance sim between two sensor reading windows according to the similitude of this motor patterni=-| |
peakacc(i+2)-peakacc(i) | |, with simiAs the kinematic similarity feature, wherein peakacc(i+2) and peakacc
(i) two adjacent motion parameter readings crest values of left foot or right crus of diaphragm are respectively indicated, specifically, it is assumed that i-th of wave crest is a left side
When foot is taken a step, then i+1 wave crest is taken a step for right crus of diaphragm, and the i-th+2 wave crests are taken a step again for left foot, due to needing to exclude left and right foot
Using the acceleration value of same foot when taking a step to be accustomed to difference, therefore calculating similitude, so with the i-th+2 wave crests and i-th of wave
The quantity difference at peak measures wave crest distance simi。
By taking the kinematic parameter is acceleration as an example: it is default whether the motion state for judging the electronic equipment meets
Condition specifically includes:
According to the acceleration and the corresponding time parameter of the acceleration, two interval wave crests of the acceleration are determined
Value, using the negative of the absolute value of the difference of described two interval crest values as the kinematic similarity feature；Wherein, described two
1 acceleration wave peak value is spaced between a interval crest value；
Judge whether the kinematic similarity feature is greater than preset similarity threshold.
At this point, peakacc(i+2) and peakacc(i) two adjacent acceleration wave peak values of left foot or right crus of diaphragm are respectively indicated.
Further, it is contemplated that can be found that the corresponding sensor reading of left foot by comparing the sensor reading of same foot
Slightly some differences between right crus of diaphragm.The rule successively decreased is presented with the distance between two wave crests in similarity.If distance is got over
Closely, then similitude is higher.In order to avoid the similitude of stationary state becomes very high, by the kinematic similarity feature simiAmendment
Are as follows:
Wherein, (1) is stationary state, and (2) are other states in addition to stationary state.
Further, whether the motion state for judging the electronic equipment meets preset condition, i.e. judgment formula simi>
δsimWhether meet, wherein δsimFor according to empirical value or the preset similarity threshold of test.
The third, motion continuity feature.
Specifically, it is contemplated that user during walking or running will not sudden change motion state, and move
State can continue for some time, thus, the motion state of user is usually smoother and continuous.However, when user keeps
Stationary state using mobile phone input text, make a phone call, watch movie, play game etc. to operate when, fortune that sensor reading is reflected
Dynamic state is discontinuous.This feature be can use to remove some type of wrong ambulatory status.
In the specific implementation process, it can use Boolean CiCarry out the continuity of measure user state, that is, the fortune is set
Dynamic continuity Characteristics are Ci, wherein CiIndicate each acceleration in the adjacent N+1 window for the kinematic parameter that sensor obtains
Variance be greater than single window internal variance threshold value δvarThe sum of number whether be more than to control successional threshold value M.If number it
Be more than or equal to M, then it represents that in normal continuous ambulatory status, otherwise indicate wrong ambulatory status., i.e.,
Ci=sum (var (acci-N+1:i+1) > δvar) >=M? 1:0
Wherein, N is window number, and M is for controlling successional threshold value, δvarFor the variance of kinematic parameter in single window
Threshold value, N, M and δvarValue can by test or it is empirically determined.If meeting condition var (acci) > δvar, then table
Show that current ambulatory status is normal ambulatory status.In this case the influence of stationary state can be removed.
By taking the kinematic parameter is acceleration as an example: it is default whether the motion state for judging the electronic equipment meets
Condition specifically includes:
According to the acceleration and the corresponding time parameter of the acceleration, the acceleration in preset time period is determined
Variance；
According to the variance and preset continuity threshold value, using Boolean variable as the motion continuity feature；
Judge whether the Boolean variable is very, that is, to judge whether the Boolean variable is equal to 1.
Further, whether the motion state for judging the electronic equipment meets preset condition, i.e. judgment formula Ci=
Whether=1 meet.
When the Boolean variable is true, indicate that movement is continuous；Otherwise, indicate that movement is discontinuous.
Subsequently, it according to the judging result of step S102, determines and executes step S103, when the movement shape of the electronic equipment
When state meets the preset condition, to step number plus 1 and store；Or step S104 is executed, when the motion state of the electronic equipment
When being unsatisfactory for the preset condition, without step counting.
Help to understand the complete step counting process of the application by taking the kinematic parameter is acceleration as an example below:
Firstly, the acceleration information that sensor acquires is divided into according to specific time interval or hits different
Window.
Then, user movement type is identified.User movement patterns affect sensor reading, and then influence step number calculation method
Accuracy.For example, the reading when user's running when mobile phone accelerometer read-around ratio walking is big.Divided by decision tree
Class identifies user movement type, can be carried out efficiently more accurate classification of type.Since acceleration readings have differences,
This classifier cannot identify the ambulatory status of mistake.But three kinds of delimiting period, similitude and continuity walkings can be passed through
Feature eliminates wrong ambulatory status particular constraints are arranged.The output of this step is that user movement type and correlation time stamp add
Velocity readings.
Next, calculating walking feature.In order to calculate walking feature, it is necessary first to calculate some essential characteristics, such as accelerate
The variance of the wave crest of degree, acceleration, and then calculate these three walking features.It is public by utilizing according to the type of sports being calculated
Formula Ci=sum (var (acci-N+1:i+1) > δvar) >=M? 1:0 calculates motion continuity feature.Likewise, being utilized respectively formulaWithIt calculates the period of motion and kinematic similarity is special
Sign.Since in calculating, these three are characterized in needing using a series of acceleration readings and type of sports as input, and not only
It is the data of a single window, it is therefore desirable to store a certain number of windows that continue using caching and read.Particularly, it needs
Using two adjacent window apertures there are the acceleration readings of timestamp to calculate the period of motion and kinematic similarity feature, utilizes N+1
A motion state calculates continuity Characteristics.
Finally, referring to FIG. 2, calculating step number in conjunction with walking feature.It first carries out D1 and judges CiWhether==1 meets.Such as
Fruit Ci==1 is unsatisfactory for, then repeatedly D1, until Ci==1 meets.If Ci==1 meets, then continues to execute D2, judge simi
>δsimAnd Ti∈[Tmin,Tmax] whether meet.If simi>δsimAnd Ti∈[Tmin,Tmax] meet, then step number S adds 1, then executes
D3 judges whether also to have data to judge；Otherwise it returns and judges D1.If when in D3 without more data, exporting total step number
Steps；Otherwise D1 is returned to, is repeated the above steps.
Based on the same inventive concept, present invention also provides the corresponding electronic equipment of method in embodiment one, it is detailed in implementation
Example two.
Embodiment two
In the present embodiment, a kind of electronic equipment is provided, referring to FIG. 3, Fig. 3 is electronic equipment in the embodiment of the present application
Structure chart, as shown in figure 3, the electronic equipment includes:
Acquiring unit 301, the corresponding time ginseng of kinematic parameter and the kinematic parameter for obtaining the electronic equipment
Number；
Computing unit 302, for judging the movement of the electronic equipment according to the kinematic parameter and the time parameter
Whether state meets preset condition；The motion state includes the combination of one or more of: the period of motion, kinematic similarity
Feature and motion continuity feature；Wherein, the kinematic similarity feature is used to characterize the repetition journey of the electronic equipment movement
Degree；The motion continuity feature is used to characterize the smoothness of the electronic equipment movement；
Execution unit 303, for when the motion state of the electronic equipment meets the preset condition, to step number plus 1；
When the motion state of the electronic equipment is unsatisfactory for the preset condition, without step counting.
In the embodiment of the present application, the acquiring unit 301 is specially the sensor on the electronic equipment, for obtaining
The acceleration and the corresponding time parameter of the acceleration of the electronic equipment movement.
In the embodiment of the present application, the computing unit 302 is also used to:
According to the acceleration and the corresponding time parameter of the acceleration, determining two adjacent waves with the acceleration
Corresponding two time parameters of peak value, using the time difference between described two time parameters as the period of motion；
Judge whether the period of motion is in preset period zones.
In the embodiment of the present application, the computing unit 302 is also used to:
According to the acceleration and the corresponding time parameter of the acceleration, two interval wave crests of the acceleration are determined
Value, using the negative of the absolute value of the difference of described two interval crest values as the kinematic similarity feature；Wherein, described two
1 acceleration wave peak value is spaced between a interval crest value；
Judge whether the kinematic similarity feature is greater than preset similarity threshold.
In the embodiment of the present application, the computing unit 302 is also used to:
According to the acceleration and the corresponding time parameter of the acceleration, the acceleration in preset time period is determined
Variance；
According to the variance and preset continuity threshold value, using Boolean variable as the motion continuity feature；
Judge whether the Boolean variable is very, that is, to judge whether the Boolean variable is equal to 1.
By the device that the embodiment of the present invention two is introduced, filled used by the method to implement the embodiment of the present invention one
It sets, so based on the method that the embodiment of the present invention one is introduced, the affiliated personnel in this field can understand the specific structure of the device
And deformation, so details are not described herein.Device used by the method for all embodiment of the present invention one belongs to the present invention and is intended to
The range of protection.
Technical solution in above-mentioned the embodiment of the present application, at least have the following technical effects or advantages:
Method and apparatus provided by the embodiments of the present application, it is contemplated that walking or the existing periodical, similitude of running and company
The feature of continuous property, it is only all to movement is met according to the kinematic parameter of electronic equipment and the corresponding time parameter of the kinematic parameter
In phase, kinematic similarity and motion continuity one or more features motion state carry out step counting, will be unsatisfactory for the period of motion,
The motion state of one or more features is excluded as wrong ambulatory status in kinematic similarity and motion continuity, is effectively reduced
Excessive step counting problem, improves the accuracy of step counting.
Although preferred embodiments of the present invention have been described, it is created once a person skilled in the art knows basic
Property concept, then additional changes and modifications may be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as
It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (6)
1. a kind of step-recording method, which is characterized in that the method is applied in electronic equipment, which comprises
Obtain the kinematic parameter and the corresponding time parameter of the kinematic parameter of the electronic equipment；The kinematic parameter includes adding
Speed；
According to the kinematic parameter and the time parameter, judge whether the motion state of the electronic equipment meets default item
Part；The motion state includes the combination of one or more of: the period of motion, kinematic similarity feature and motion continuity are special
Sign；Wherein, the kinematic similarity feature is used to characterize the repetition degree of the electronic equipment movement；The motion continuity is special
It takes over for use in the smoothness for characterizing the electronic equipment movement；
When the motion state of the electronic equipment meets the preset condition, to step number plus 1 and store；Wherein, described in judgement
Whether the motion state of electronic equipment meets preset condition, specifically includes: corresponding according to the acceleration and the acceleration
Time parameter determines two interval crest values of the acceleration, with the absolute value of the difference of described two interval crest values
Negative is as the kinematic similarity feature；Wherein, 1 acceleration wave peak value is spaced between described two interval crest values；Sentence
Whether the kinematic similarity feature of breaking is greater than preset similarity threshold；
When the motion state of the electronic equipment is unsatisfactory for the preset condition, without step counting.
2. the method as described in claim 1, which is characterized in that the kinematic parameter for obtaining the electronic equipment and the fortune
The dynamic corresponding time parameter of parameter, specifically:
By the sensor on the electronic equipment, acceleration and the acceleration for obtaining the electronic equipment movement are corresponding
Time parameter.
3. method according to claim 2, which is characterized in that whether the motion state for judging the electronic equipment meets
Preset condition specifically includes:
According to the acceleration and the corresponding time parameter of the acceleration, determining two adjacent wave peak values with the acceleration
Corresponding two time parameters, using the time difference between described two time parameters as the period of motion；
Judge whether the period of motion is in preset period zones.
4. a kind of electronic equipment, which is characterized in that the electronic equipment includes:
Acquiring unit, for obtaining the kinematic parameter and the corresponding time parameter of the kinematic parameter of the electronic equipment；It is described
Kinematic parameter includes acceleration；
Computing unit, for judging that the motion state of the electronic equipment is according to the kinematic parameter and the time parameter
It is no to meet preset condition；The motion state includes the combination of one or more of: the period of motion, kinematic similarity feature and
Motion continuity feature；Wherein, the kinematic similarity feature is used to characterize the repetition degree of the electronic equipment movement；It is described
Motion continuity feature is used to characterize the smoothness of the electronic equipment movement；
Execution unit, for when the motion state of the electronic equipment meets the preset condition, to step number plus 1；When described
When the motion state of electronic equipment is unsatisfactory for the preset condition, without step counting, wherein judge the movement of the electronic equipment
Whether state meets preset condition, specifically includes: according to the acceleration and the corresponding time parameter of the acceleration, determining institute
Two interval crest values for stating acceleration, using the negative of the absolute value of the difference of described two interval crest values as the movement
Similarity feature；Wherein, 1 acceleration wave peak value is spaced between described two interval crest values；Judge the kinematic similarity
Whether feature is greater than preset similarity threshold.
5. electronic equipment as claimed in claim 4, which is characterized in that the acquiring unit is specially on the electronic equipment
Sensor, for obtaining the acceleration and the corresponding time parameter of the acceleration of the electronic equipment movement.
6. electronic equipment as claimed in claim 5, which is characterized in that the computing unit is also used to:
According to the acceleration and the corresponding time parameter of the acceleration, determining two adjacent wave peak values with the acceleration
Corresponding two time parameters, using the time difference between described two time parameters as the period of motion；
Judge whether the period of motion is in preset period zones.
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| CN106108913B (en) * | 2016-07-25 | 2019-05-07 | 北京顺源开华科技有限公司 | Error count walks removing method, device and wearable device |
| CN106895849B (en) * | 2017-02-23 | 2019-10-11 | 上海与德信息技术有限公司 | A kind of accurate method of counting and device of pedometer |
| CN107167159B (en) * | 2017-04-26 | 2020-06-23 | 青岛海信移动通信技术股份有限公司 | Mobile terminal step counting method and mobile terminal |
| CN109374014B (en) * | 2018-12-14 | 2020-09-11 | 歌尔科技有限公司 | Step counting method, system and mobile device |
| CN111442785B (en) * | 2020-03-27 | 2021-01-26 | 广东工业大学 | Step counting method, device and equipment based on inertia and storage medium |
| CN112113581B (en) * | 2020-10-26 | 2024-03-08 | 平安科技（深圳）有限公司 | Abnormal step counting identification method, step counting method, device, equipment and medium |
| CN114125129B (en) * | 2021-11-03 | 2023-08-22 | 方正株式(武汉)科技开发有限公司 | Step number counting method and device based on mobile phone, electronic equipment and storage medium |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101444427A (en) * | 2007-11-30 | 2009-06-03 | 株式会社百利达 | Body movement detecting apparatus |
| CN102265295A (en) * | 2008-12-26 | 2011-11-30 | 欧姆龙健康医疗事业株式会社 | Number-of-steps detection system, number-of-steps detection method, and active mass meter |
| CN102297701A (en) * | 2010-06-22 | 2011-12-28 | 雅马哈株式会社 | Pedometer |
| CN103411607A (en) * | 2013-08-30 | 2013-11-27 | 华中师范大学 | Method for pedestrian step size estimation and dead reckoning |
| CN104075730A (en) * | 2014-07-02 | 2014-10-01 | 电子科技大学 | Gait counting method and gait counter |
| CN104121925A (en) * | 2014-08-08 | 2014-10-29 | 沈迪 | Step counting method and device |
| CN104406604A (en) * | 2014-11-21 | 2015-03-11 | 中国科学院计算技术研究所 | Step counting method |
| CN104713568A (en) * | 2015-03-31 | 2015-06-17 | 上海帝仪科技有限公司 | Gait recognition method and corresponding pedometer |
-
2016
- 2016-05-17 CN CN201610325891.7A patent/CN106017502B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101444427A (en) * | 2007-11-30 | 2009-06-03 | 株式会社百利达 | Body movement detecting apparatus |
| CN102265295A (en) * | 2008-12-26 | 2011-11-30 | 欧姆龙健康医疗事业株式会社 | Number-of-steps detection system, number-of-steps detection method, and active mass meter |
| CN102297701A (en) * | 2010-06-22 | 2011-12-28 | 雅马哈株式会社 | Pedometer |
| CN103411607A (en) * | 2013-08-30 | 2013-11-27 | 华中师范大学 | Method for pedestrian step size estimation and dead reckoning |
| CN104075730A (en) * | 2014-07-02 | 2014-10-01 | 电子科技大学 | Gait counting method and gait counter |
| CN104121925A (en) * | 2014-08-08 | 2014-10-29 | 沈迪 | Step counting method and device |
| CN104406604A (en) * | 2014-11-21 | 2015-03-11 | 中国科学院计算技术研究所 | Step counting method |
| CN104713568A (en) * | 2015-03-31 | 2015-06-17 | 上海帝仪科技有限公司 | Gait recognition method and corresponding pedometer |
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